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Applied Data Science Capstone Project for IBM Data Science Professional Certificate on Coursera.

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IBM Data Science Professional Certificate | Applied Data Science Capstone

Peer-graded Assignment: Capstone Project Notebook's

Course Contents

Week 1 - Introduction to Capstone Project

  • Introduction to Capstone Project
  • Learning about the capstone project and the different tools and skills that you will learn in this course.
  • Learning about the different location data providers and what location data is composed of.
  • Learning how to sign up on Watson Studio, and how to create a project, start a notebook, and share the notebook.
  • Creating a project on Watson Studio, create a project, start a notebook and share it with your peers.
  • Location Data Providers
  • Signing-up for a Watson Studio Account
  • Peer-review Assignment: Capstone Project Notebook

Week 2 - Foursquare API

  • Learning about Foursquare and its API.
  • Learning how to create a Foursquare developer account.
  • Creating a Foursquare developer account.
  • Learning how to use the Foursquare API to search for a specific type of venues, explore a given venue, and search for trending venue around a location.
  • Completing a lab to better understand how to make calls to the Foursquare API and retrieve location data from its database.
  • Getting Foursquare API Credentials
  • Using Foursquare API
  • Lab: Foursquare API
  • Quiz: Foursquare API

Week 3 - Neighborhood Segmentation and Clustering

  • Learning about clustering and k-means clustering in particular.
  • Learning how to use the Foursquare API and clustering to segment and cluster the neighborhoods in New York City.
  • Learning how to use the Beautifulsoup Python package to scrape websites and parse HTML code.
  • Applying the skills acquired so far in this course to segment and cluster neighborhoods in the city of Toronto.
  • Clustering
  • Lab: Clustering
  • Lab: Segmenting and Clustering Neighborhoods in New York City
  • Peer-review Assignment: Segmenting and Clustering Neighborhoods in Toronto

Week 4 - Capstone Project

  • Define a problem for your capstone project.
  • Discuss the data that you will use to solve the problem.
  • Peer-graded Assignment: Capstone Project - The Battle of Neighborhoods (Week 1)

Week 5 - Capstone Project (Cont'd)

  • Carry out the remaining work to complete the capstone project.
  • Submit a link to your project notebook and a complete project report.
  • Peer-graded Assignment: Capstone Project - The Battle of Neighborhoods (Week 2)

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Applied Data Science Capstone Project for IBM Data Science Professional Certificate on Coursera.

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